Machine Learning

Evaluation of Machine Learning to Detect Influenza Using Wearable Sensor Data and Patient-Reported Symptoms: Cohort Study

Kamran Farooq, Melody Lim, Lawrence Dennison-Hall, Finn Janson, Aspen Hazel Olszewska, Muhammad Mamduh Ahmad Zabidi, Anna Haratym-Rojek, Karol Narowski, Barry Clinch, Marco Prunotto, Devika Chawla, Victoria Hunter, Vincent Ukachukwu

J Med Internet Res 2024 (Oct 04); 26:e47879

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Machine Learning–Based Prediction of Neurodegenerative Disease in Patients With Type 2 Diabetes by Derivation and Validation in 2 Independent Korean Cohorts: Model Development and Validation Study

Hyunji Sang, Hojae Lee, Jaeyu Park, Sunyoung Kim, Ho Geol Woo, Ai Koyanagi, Lee Smith, Sihoon Lee, You-Cheol Hwang, Tae Sun Park, Hyunjung Lim, Dong Keon Yon, Sang Youl Rhee

J Med Internet Res 2024 (Oct 03); 26:e56922

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Disambiguating Clinical Abbreviations by One-to-All Classification: Algorithm Development and Validation Study

Sheng-Feng Sung, Ya-Han Hu, Chong-Yan Chen

JMIR Med Inform 2024 (Oct 01); 12:e56955

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Game-Based Assessment of Peripheral Neuropathy Combining Sensor-Equipped Insoles, Video Games, and AI: Proof-of-Concept Study

Antao Ming, Vera Clemens, Elisabeth Lorek, Janina Wall, Ahmad Alhajjar, Imke Galazky, Anne-Katrin Baum, Yang Li, Meng Li, Sebastian Stober, Nils David Mertens, Peter Rene Mertens

J Med Internet Res 2024 (Oct 01); 26:e52323

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Enhancing Performance of the National Field Triage Guidelines Using Machine Learning: Development of a Prehospital Triage Model to Predict Severe Trauma

Qi Chen, Yuchen Qin, Zhichao Jin, Xinxin Zhao, Jia He, Cheng Wu, Bihan Tang

J Med Internet Res 2024 (Sep 30); 26:e58740

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Practical Aspects of Using Large Language Models to Screen Abstracts for Cardiovascular Drug Development: Cross-Sectional Study

Jay G Ronquillo, Jamie Ye, Donal Gorman, Adina R Lemeshow, Stephen J Watt

JMIR Med Inform 2024 (Sep 30); 12:e64143

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Data Preprocessing Techniques for AI and Machine Learning Readiness: Scoping Review of Wearable Sensor Data in Cancer Care

Bengie L Ortiz, Vibhuti Gupta, Rajnish Kumar, Aditya Jalin, Xiao Cao, Charles Ziegenbein, Ashutosh Singhal, Muneesh Tewari, Sung Won Choi

JMIR Mhealth Uhealth 2024 (Sep 27); 12:e59587

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The Most Effective Interventions for Classification Model Development to Predict Chat Outcomes Based on the Conversation Content in Online Suicide Prevention Chats: Machine Learning Approach

Salim Salmi, Saskia Mérelle, Renske Gilissen, Rob van der Mei, Sandjai Bhulai

JMIR Ment Health 2024 (Sep 26); 11:e57362

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Identifying Potential Factors Associated With Racial Disparities in COVID-19 Outcomes: Retrospective Cohort Study Using Machine Learning on Real-World Data

Osama Dasa, Chen Bai, Ruba Sajdeya, Stephen E Kimmel, Carl J Pepine, Matthew J Gurka J, Reinhard Laubenbacher, Thomas A Pearson, Mamoun T Mardini

JMIR Public Health Surveill 2024 (Sep 26); 10:e54421

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Processing of Short-Form Content in Clinical Narratives: Systematic Scoping Review

Amila Kugic, Ingrid Martin, Luise Modersohn, Peter Pallaoro, Markus Kreuzthaler, Stefan Schulz, Martin Boeker

J Med Internet Res 2024 (Sep 26); 26:e57852

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Development of a Cohort Analytics Tool for Monitoring Progression Patterns in Cardiovascular Diseases: Advanced Stochastic Modeling Approach

Arindam Brahma, Samir Chatterjee, Kala Seal, Ben Fitzpatrick, Youyou Tao

JMIR Med Inform 2024 (Sep 24); 12:e59392

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Automated System to Capture Patient Symptoms From Multitype Japanese Clinical Texts: Retrospective Study

Tomohiro Nishiyama, Ayane Yamaguchi, Peitao Han, Lis Weiji Kanashiro Pereira, Yuka Otsuki, Gabriel Herman Bernardim Andrade, Noriko Kudo, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki, Masahiro Takada, Masakazu Toi

JMIR Med Inform 2024 (Sep 24); 12:e58977

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Evaluating the Bias in Hospital Data: Automatic Preprocessing of Patient Pathways Algorithm Development and Validation Study

Laura Uhl, Vincent Augusto, Benjamin Dalmas, Youenn Alexandre, Paolo Bercelli, Fanny Jardinaud, Saber Aloui

JMIR Med Inform 2024 (Sep 23); 12:e58978

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Personalized Prediction of Long-Term Renal Function Prognosis Following Nephrectomy Using Interpretable Machine Learning Algorithms: Case-Control Study

Lingyu Xu, Chenyu Li, Shuang Gao, Long Zhao, Chen Guan, Xuefei Shen, Zhihui Zhu, Cheng Guo, Liwei Zhang, Chengyu Yang, Quandong Bu, Bin Zhou, Yan Xu

JMIR Med Inform 2024 (Sep 20); 12:e52837

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A Machine Learning Approach for Predicting Biochemical Outcome After PSMA-PET–Guided Salvage Radiotherapy in Recurrent Prostate Cancer After Radical Prostatectomy: Retrospective Study

Ali Janbain, Andrea Farolfi, Armelle Guenegou-Arnoux, Louis Romengas, Sophia Scharl, Stefano Fanti, Francesca Serani, Jan C Peeken, Sandrine Katsahian, Iosif Strouthos, Konstantinos Ferentinos, Stefan A Koerber, Marco E Vogel, Stephanie E Combs, Alexis Vrachimis, Alessio Giuseppe Morganti, Simon KB Spohn, Anca-Ligia Grosu, Francesco Ceci, Christoph Henkenberens, Stephanie GC Kroeze, Matthias Guckenberger, Claus Belka, Peter Bartenstein, George Hruby, Louise Emmett, Ali Afshar Omerieh, Nina-Sophie Schmidt-Hegemann, Lucas Mose, Daniel M Aebersold, Constantinos Zamboglou, Thomas Wiegel, Mohamed Shelan

JMIR Cancer 2024 (Sep 20); 10:e60323

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Early Prediction of Cardiac Arrest in the Intensive Care Unit Using Explainable Machine Learning: Retrospective Study

Yun Kwan Kim, Won-Doo Seo, Sun Jung Lee, Ja Hyung Koo, Gyung Chul Kim, Hee Seok Song, Minji Lee

J Med Internet Res 2024 (Sep 17); 26:e62890

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Predicting Adherence to Computer-Based Cognitive Training Programs Among Older Adults: Study of Domain Adaptation and Deep Learning

Ankita Singh, Shayok Chakraborty, Zhe He, Yuanying Pang, Shenghao Zhang, Ronast Subedi, Mia Liza Lustria, Neil Charness, Walter Boot

JMIR Aging 2024 (Sep 16); 7:e53793

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Investigating Acoustic and Psycholinguistic Predictors of Cognitive Impairment in Older Adults: Modeling Study

Varsha D Badal, Jenna M Reinen, Elizabeth W Twamley, Ellen E Lee, Robert P Fellows, Erhan Bilal, Colin A Depp

JMIR Aging 2024 (Sep 16); 7:e54655

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Smartphone-Based Hand Function Assessment: Systematic Review

Yan Fu, Yuxin Zhang, Bing Ye, Jessica Babineau, Yan Zhao, Zhengke Gao, Alex Mihailidis

J Med Internet Res 2024 (Sep 16); 26:e51564

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Early Diagnosis of Hereditary Angioedema in Japan Based on a US Medical Dataset: Algorithm Development and Validation

Kouhei Yamashita, Yuji Nomoto, Tomoya Hirose, Akira Yutani, Akira Okada, Nayu Watanabe, Ken Suzuki, Munenori Senzaki, Tomohiro Kuroda

JMIR Med Inform 2024 (Sep 13); 12:e59858

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